Re: Combining comma separate files

[Ken Singh]

Thank you.  

In the case of concatenating the csv files I don't think format specifiers are essential.  As long as the files are of exactly the same format all variables will align.  Once combined the file could be saved then loaded into the editor (which guesses the formats for each column).   That said, I understand PSPP is meant to be a clone of SPSS, so likely there is no good solution available. It may still be the case that it's more expedient to use cat or or "copy /a" to join files then import into the editor.  I had attempted a variation of your second suggestion but maybe conceded too early.  I'll play with both of your suggestions.  Thanks again.

K.

  

On Tue, Nov 12, 2013 at 2:28 AM, John Darrington <address@hidden> wrote:

On Mon, Nov 11, 2013 at 10:35:40PM -0500, Ken Singh wrote:
     Hello,

     It is unclear to me how to quickly and efficiently combine a set of comma
     separated files into one data file. The easy solution would be to use the
     unix 'cat' command to concatenate the files then import using the graphical
     interface.  However, I'm interested in a purely PSPP based solution.

     I have tried GET DATA in combination with SAVE but it appears that the
     dataset must be made active.  I am not certain about this step.

     GET DATA
         /TYPE=TXT /ARRANGEMENT=DELIMITED
         /FILE='e:\Dropbox\data\raw1.txt'
         /DELIMITERS=','

      SAVE
         /OUTFILE = 'e:\dropbox\data\tmp.sav'

Here is one way you could solve that problem, assuming that both your
CSV files have the same arrangement:

dataset declare d_one.
dataset activate d_one.
GET DATA /TYPE=TXT /FILE='one.csv' /VARIABLES=x F8.2 y F8.2 z F8.2.

dataset declare d_two.
dataset activate d_two.
GET DATA /TYPE=TXT /FILE='two.csv' /VARIABLES=x F8.2 y F8.2 z F8.2.

dataset declare d_concat.
dataset activate d_concat.

ADD FILES /FILE=d_one /FILE=d_two.

LIST.

     It also appears that the VARIABLES subcommand is required.  Is there a
     solution for when one has dozens of variables?

The problem with CSV is that there is no metadata.  How should pspp (or anyone else!)
know if a column is to be interpreted as a string, a date, or whatever?  If you
happen to know that all your files have the same arrangement, then one solution you
could try, is to use psppire's import function to "guess" the arrangement of each file
(hopefully it should guess each one identically) and save to a .sav - then you can use
ADD FILES to concatonate all the files at once.

     The bigger problem is that I have many raw#.txt files, not necessarily
     contiguously numbered.  Any suggestions would be most appreciated.

Again, if the order that the .txt files should be read cannot be determined from
the names, then you must tell it.  At the end of the day, pspp is a statistical
analysis tool, not an artificial intelligence engine (although the format guesser does
attempt to go a small way in that direction).

Hope this is helpful.



--
PGP Public key ID: 1024D/2DE827B3
fingerprint = 8797 A26D 0854 2EAB 0285  A290 8A67 719C 2DE8 27B3
See http://sks-keyservers.net or any PGP keyserver for public key.